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March 31, 2019 22:48
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OpenCV Python Tutorial For Beginners - Object Detection and Object Tracking Using HSV Color Space
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| import cv2 | |
| import numpy as np | |
| def nothing(x): | |
| pass | |
| cv2.namedWindow("Tracking") | |
| cv2.createTrackbar("LH", "Tracking", 0, 255, nothing) | |
| cv2.createTrackbar("LS", "Tracking", 0, 255, nothing) | |
| cv2.createTrackbar("LV", "Tracking", 0, 255, nothing) | |
| cv2.createTrackbar("UH", "Tracking", 255, 255, nothing) | |
| cv2.createTrackbar("US", "Tracking", 255, 255, nothing) | |
| cv2.createTrackbar("UV", "Tracking", 255, 255, nothing) | |
| while True: | |
| frame = cv2.imread('smarties.png') | |
| hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) | |
| l_h = cv2.getTrackbarPos("LH", "Tracking") | |
| l_s = cv2.getTrackbarPos("LS", "Tracking") | |
| l_v = cv2.getTrackbarPos("LV", "Tracking") | |
| u_h = cv2.getTrackbarPos("UH", "Tracking") | |
| u_s = cv2.getTrackbarPos("US", "Tracking") | |
| u_v = cv2.getTrackbarPos("UV", "Tracking") | |
| l_b = np.array([l_h, l_s, l_v]) | |
| u_b = np.array([u_h, u_s, u_v]) | |
| mask = cv2.inRange(hsv, l_b, u_b) | |
| res = cv2.bitwise_and(frame, frame, mask=mask) | |
| cv2.imshow("frame", frame) | |
| cv2.imshow("mask", mask) | |
| cv2.imshow("res", res) | |
| key = cv2.waitKey(1) | |
| if key == 27: | |
| break | |
| cv2.destroyAllWindows() |
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| import cv2 | |
| import numpy as np | |
| def nothing(x): | |
| pass | |
| cap = cv2.VideoCapture(0); | |
| cv2.namedWindow("Tracking") | |
| cv2.createTrackbar("LH", "Tracking", 0, 255, nothing) | |
| cv2.createTrackbar("LS", "Tracking", 0, 255, nothing) | |
| cv2.createTrackbar("LV", "Tracking", 0, 255, nothing) | |
| cv2.createTrackbar("UH", "Tracking", 255, 255, nothing) | |
| cv2.createTrackbar("US", "Tracking", 255, 255, nothing) | |
| cv2.createTrackbar("UV", "Tracking", 255, 255, nothing) | |
| while True: | |
| #frame = cv2.imread('smarties.png') | |
| _, frame = cap.read() | |
| hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) | |
| l_h = cv2.getTrackbarPos("LH", "Tracking") | |
| l_s = cv2.getTrackbarPos("LS", "Tracking") | |
| l_v = cv2.getTrackbarPos("LV", "Tracking") | |
| u_h = cv2.getTrackbarPos("UH", "Tracking") | |
| u_s = cv2.getTrackbarPos("US", "Tracking") | |
| u_v = cv2.getTrackbarPos("UV", "Tracking") | |
| l_b = np.array([l_h, l_s, l_v]) | |
| u_b = np.array([u_h, u_s, u_v]) | |
| mask = cv2.inRange(hsv, l_b, u_b) | |
| res = cv2.bitwise_and(frame, frame, mask=mask) | |
| cv2.imshow("frame", frame) | |
| cv2.imshow("mask", mask) | |
| cv2.imshow("res", res) | |
| key = cv2.waitKey(1) | |
| if key == 27: | |
| break | |
| cap.release() | |
| cv2.destroyAllWindows() |
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To detect the object from the image from scratch using python; Click here I found the best article https://debuggingsolution.blogspot.com/2022/02/object-detection-from-scratch-in-python.html